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Machine Learning Engineer Associate Jobs in Ottawa, ON

Uottawa

APTPUO-Fall 2026-MIA5130 (online)

Ottawa, ON · On-site

CA$239.47/hr

Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... in AI, machine learning, or data-driven decision systems. Experience working with optimization ...

Q-Block Computing

CNC Machinist (Programmer)

Ottawa, ON

$60K - $100K/yr

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

Q-Block Computing

CNC Machinist (Programmer)

Ottawa, ON · On-site

CA$60K - CA$100K/yr

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

LeverageTek

ServiceNow Developer

Ottawa, ON · Remote

... machine learning, NLP, prompt engineering, and AI governance principles Qualifications University degree or college diploma in computer science, information technology, business, or a related field ...

Ranovus

Software Automation Engineer

Kanata, ON

AtRanovus,you'lljoin a collaborative, inclusive team that values learning, flexibility, and ... Design and implement sophisticated machine vision algorithms for object detection, identification ...

TELUS

Manager AI

Ottawa, ON · On-site +1

Engineering Excellence: Lead the development and implementation of robust, scalable, and efficient ... Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions ...

Trellis

Senior Full Stack Developer

Kanata, ON

We're looking for a passionate Senior Full-Stack Developer who wants to make a difference in a fast ... Machine Learning and Algorithms Compensation * Competitive Salary * Stock options * Comprehensive ...

AtHoc

QNX Senior Security Researcher

Ottawa, ON

CA$108K - CA$158K/yr

Experience applying AI or machine learning techniques to security research or vulnerability ... Reverse engineering experience using tools such as IDA Pro, Ghidra, Binary Ninja, or similar ...

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Machine Learning Engineer Associate information

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Ottawa, ON? The most popular types of Machine Learning Engineer jobs in Ottawa, ON are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Ottawa, ON? For Machine Learning Engineer Associate jobs in Ottawa, ON, the most frequently searched job titles are:
Machine Learning Engineer Associate jobs near you

APTPUO-Fall 2026-MIA5130 (online)

Uottawa

Ottawa, ON • On-site

CA$239.47/hr

Part-time

PTO

Re-posted 8 days ago

Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation

Course Title:

SYSTEMS OPTI AND MNGT (online)

Course Code:

MIA5130

Section:

A

Course Description:

This course covers the analysis of user requirements, the design of optimization models, and the implementation of solutions to improve efficiency and performance. It introduces the key concepts of systems thinking, emphasizing its application to both economic and hierarchical systems, and highlights the application of simulation, modeling, optimization, and management to economic systems.

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/07/06

Applications must be received BEFORE (YYYY/MM/DD):

2026/08/07

Expected Enrolment:

40

Approval date:

2026/07/06

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

B

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Active

Course Schedule:

Mercredi | Wednesday 19:00-22:00 - -

Requirements:


Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with strong focus on AI/ML is required.
Experience teaching a similar course at the graduate level and/or undergraduate level
Experience working on projects involving optimization techniques, such as developing algorithms, modelling complex systems, or improving business processes, with applications in AI, machine learning, or data-driven decision systems.
Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers
Familiarity with AI or data-driven approaches in optimization, such as machine learning-enhanced optimization, heuristic methods, and intelligent decision systems.
Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems including areas such as system optimization, data analysis, or process improvement, is highly desirable

Additional Information and/or Comments:

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

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